Triple

T23305085
Position Surface form Disambiguated ID Type / Status
Subject Tomáš Vokoun E590413 entity
Predicate playedFor P2170 FINISHED
Object HC Zlín NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HC Zlín | Statement: [Tomáš Vokoun, playedFor, HC Zlín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC Zlín
Context triple: [Tomáš Vokoun, playedFor, HC Zlín]
  • A. HC Zlín
    HC Zlín is a professional ice hockey club from Zlín, Czech Republic, known for competing in the country’s top leagues and developing notable Czech players.
  • B. HC Kladno
    HC Kladno is a Czech professional ice hockey club based in Kladno, historically one of the country’s prominent teams and known for producing several notable Czech players.
  • C. PSG Zlín chosen
    PSG Zlín is a Czech professional ice hockey club based in Zlín that competes in the country’s top leagues and has produced several notable players.
  • D. HC Vsetín
    HC Vsetín is a Czech professional ice hockey club historically known as one of the dominant teams in the Czech Extraliga during the 1990s and early 2000s.
  • E. HC České Budějovice
    HC České Budějovice is a professional ice hockey club from České Budějovice, Czech Republic, known for its long-standing presence in the country’s top-tier competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.